Fill-Mask
Transformers
Safetensors
Polish
modernbert
polish
encoder
masked-language-modeling
nlp
long-context
Instructions to use OPI-PIB/pl-ModernBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OPI-PIB/pl-ModernBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="OPI-PIB/pl-ModernBERT-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("OPI-PIB/pl-ModernBERT-base") model = AutoModelForMaskedLM.from_pretrained("OPI-PIB/pl-ModernBERT-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from OPI-PIB/pl-ModernBERT-base: direct link, hf CLI and curl.
- Browser
- Download file 3.36 MB
-
https://huggingface.co/OPI-PIB/pl-ModernBERT-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://OPI-PIB/pl-ModernBERT-base/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/OPI-PIB/pl-ModernBERT-base/resolve/main/tokenizer.json
3.36 MB
File too large to display, you can check the raw version instead.